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Table · dataset · 2026

Applying parallel computing in numerical methods: theoretical and practical foundations for education

Listed in ZivaHub and Deakin Research Online and DMU Figshare and HKU DataHub and Swinburne Figshare and DaYta Ya Rona and SUNScholarData and figshare and Loughborough Research Repository and GRANTS Data and UP Research Data Repository — shown once because both records carry DOI 10.6084/m9.figshare.34046432.v1

<p>This study explores a teaching methodology combining theoretical and practical components with modern parallel programming technologies.

Description

The training process utilized parallel programming languages and tools such as OpenMP, MPI, and CUDA, as well as the SimGrid simulator, which provided students with the opportunity to master real-world high-performance computing technologies. The research evaluates the method’s impact on students’ knowledge, skills, and perceptions of the learning process using tests, questionnaires, and statistical analysis.

The study involved 118 students from four Kazakhstani universities. Participants averaged 20 years of age. The main problem of the study is that traditional approaches to teaching numerical methods do not meet the needs of the development of information and communication technologies in Kazakhstan, where specialists with parallel and high-performance computing skills are needed.

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Results showed a significant improvement in student performance, with theoretical exam scores increasing by 38.1% and practical scores by 45.9%. Statistical analysis confirmed these gains, validating the method’s effectiveness. Surveys further indicated enhanced student perceptions of program usefulness, satisfaction, and material comprehension.

The methodology integrates modern technologies and tools, significantly improving theoretical and practical knowledge in parallel computing.</p> <p>This study demonstrates that integrating modern parallel programming technologies, including OpenMP, MPI, CUDA, and SimGrid, into the teaching of numerical methods significantly improves students’ theoretical and practical learning outcomes. The findings provide a practical framework for modernizing computer science education in Kazakhstan and other contexts where high-performance and parallel computing skills are increasingly required.</p>

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Provenance · 11 source records, 118 field assertions
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ZivaHuboai:figshare.com:article/3404643212 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/3404643212 d agoJSON v1
DMU Figshareoai:figshare.com:article/3404643212 d agoJSON v1
HKU DataHuboai:figshare.com:article/3404643212 d agoJSON v1
Swinburne Figshareoai:figshare.com:article/3404643212 d agoJSON v1
DaYta Ya Ronaoai:figshare.com:article/3404643212 d agoJSON v1
SUNScholarDataoai:figshare.com:article/3404643212 d agoJSON v1
figshareoai:figshare.com:article/3404643211 d agoJSON v1
Loughborough Research Repositoryoai:figshare.com:article/3404643211 d agoJSON v1
GRANTS Dataoai:figshare.com:article/3404643211 d agoJSON v1
UP Research Data Repositoryoai:figshare.com:article/3404643211 d agoJSON v1
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